从视频帧中获取景深数据
This commit is contained in:
parent
10c1c4c430
commit
a79e66b5fa
1
.gitignore
vendored
1
.gitignore
vendored
@ -329,3 +329,4 @@ ASALocalRun/
|
||||
# MFractors (Xamarin productivity tool) working folder
|
||||
.mfractor/
|
||||
/1.png
|
||||
/vid
|
||||
|
@ -7,11 +7,12 @@ from matplotlib import pyplot as plt
|
||||
|
||||
|
||||
|
||||
img = cv2.imread("1.png", 0)
|
||||
img = cv2.imread("./pic_en/2.jpg", 0)
|
||||
|
||||
imgL = np.split(img, 2, 1)[0]
|
||||
imgR = np.split(img, 2, 1)[1]
|
||||
stereo = cv2.StereoBM_create(numDisparities=32, blockSize=25)
|
||||
stereo = cv2.StereoBM_create(numDisparities=96, blockSize=11)
|
||||
disparity = stereo.compute(imgL, imgR)
|
||||
plt.title("BM")
|
||||
plt.imshow(disparity)
|
||||
plt.show()
|
18
StereoSGBM.py
Normal file
18
StereoSGBM.py
Normal file
@ -0,0 +1,18 @@
|
||||
|
||||
import numpy as np
|
||||
import matplotlib
|
||||
import cv2
|
||||
import os
|
||||
from matplotlib import pyplot as plt
|
||||
|
||||
|
||||
|
||||
img = cv2.imread("./pic_en/2.jpg")
|
||||
|
||||
imgL = np.split(img, 2, 1)[0]
|
||||
imgR = np.split(img, 2, 1)[1]
|
||||
stereo = cv2.StereoSGBM_create(numDisparities=96, blockSize=11)
|
||||
disparity = stereo.compute(imgL, imgR)
|
||||
plt.title("SGBM")
|
||||
plt.imshow(disparity)
|
||||
plt.show()
|
@ -3,21 +3,68 @@ import numpy as np
|
||||
import matplotlib
|
||||
import cv2
|
||||
import os
|
||||
import sys
|
||||
from matplotlib import pyplot as plt
|
||||
|
||||
|
||||
# 中文文件名无法识别
|
||||
imgDirs = os.listdir("./pic_en")
|
||||
|
||||
|
||||
def read_frame_as_jpeg(in_filename, frame_num):
|
||||
out, err = (
|
||||
ffmpeg
|
||||
.input(in_filename)
|
||||
.filter('select', 'gte(n,{})'.format(frame_num))
|
||||
.output('pipe:', vframes=1, format='image2', vcodec='mjpeg')
|
||||
.run(capture_stdout=True)
|
||||
)
|
||||
return out
|
||||
|
||||
for imgDir in imgDirs:
|
||||
dir = "./pic_en/"+imgDir
|
||||
print (dir)
|
||||
img = cv2.imread(dir, 0)
|
||||
# ffmpeg.input("./vid/venom.mkv")
|
||||
# ffmpeg.
|
||||
|
||||
#img = read_frame_as_jpeg("./vid/venom.mkv", 648)
|
||||
# print(type(img))
|
||||
#img = cv2.imdecode(img,0)
|
||||
# print(img)
|
||||
# cv2.imshow("img",img)
|
||||
#imgL = np.split(img, 2, 1)[0]
|
||||
#imgR = np.split(img, 2, 1)[1]
|
||||
#stereo = cv2.StereoBM_create(numDisparities=64, blockSize=11)
|
||||
#disparity = stereo.compute(imgL, imgR)
|
||||
# plt.imshow(disparity)
|
||||
# plt.show()
|
||||
|
||||
|
||||
cap = cv2.VideoCapture('./vid/zootopia.mkv')
|
||||
|
||||
totalFrame = cap.get(cv2.CAP_PROP_FRAME_COUNT)
|
||||
for frameID in range(1, int(totalFrame), 1440):
|
||||
cap.set(cv2.CAP_PROP_POS_FRAMES, frameID)
|
||||
isSuccess, img = cap.read()
|
||||
if isSuccess:
|
||||
cv2.imshow('img', img)
|
||||
imgL = np.split(img, 2, 1)[0]
|
||||
imgR = np.split(img, 2, 1)[1]
|
||||
stereo = cv2.StereoBM_create(numDisparities=64, blockSize=11)
|
||||
stereo = cv2.StereoSGBM_create(numDisparities=96, blockSize=11)
|
||||
disparity = stereo.compute(imgL, imgR)
|
||||
plt.imshow(disparity)
|
||||
plt.show()
|
||||
|
||||
|
||||
#for imgDir in imgDirs:
|
||||
# dir = "./pic_en/"+imgDir
|
||||
# print(dir)
|
||||
# img = cv2.imread(dir)
|
||||
|
||||
# imgL = np.split(img, 2, 1)[0]
|
||||
# imgR = np.split(img, 2, 1)[1]
|
||||
# print(img.shape)
|
||||
# print(imgL.shape)
|
||||
# print(imgR.shape)
|
||||
# cv2.imshow("img", img)
|
||||
# stereo = cv2.StereoSGBM_create(numDisparities=96, blockSize=11)
|
||||
# disparity = stereo.compute(imgL, imgR)
|
||||
|
||||
# plt.imshow(disparity)
|
||||
# plt.show()
|
||||
|
Loading…
Reference in New Issue
Block a user